Triple

T14969346
Position Surface form Disambiguated ID Type / Status
Subject Wise County, Texas E373274 entity
Predicate hasCommunity P2605 FINISHED
Object Aurora, Texas E312544 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Aurora, Texas | Statement: [Wise County, Texas, hasCommunity, Aurora, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aurora, Texas
Context triple: [Wise County, Texas, hasCommunity, Aurora, Texas]
  • A. Aurora, Texas chosen
    Aurora, Texas is a small rural town in North Texas best known for its 1897 "UFO crash" legend and historic cemetery.
  • B. Wellington, Texas
    Wellington, Texas is a small city in the Texas Panhandle known as the primary local hub for government, services, and commerce in rural Collingsworth County.
  • C. Alexander, Texas
    Alexander, Texas is a small unincorporated rural community located in Erath County in north-central Texas.
  • D. Arcola, Texas
    Arcola, Texas is a small city in Fort Bend County within the Greater Houston metropolitan area.
  • E. Columbus, Texas
    Columbus, Texas is a small historic city in southeastern Texas that serves as the county seat of Colorado County and lies west of the greater Houston metropolitan region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d85ccbbcd48190acb56e7cf104d8ad completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6e44cb0819096e09f8026ef8174 completed April 15, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69fef888a7988190837f3f4b8d340e04 completed May 9, 2026, 9:04 a.m.
Created at: April 10, 2026, 2:49 a.m.